Sigma Percentile
JEE Main 2022 (28 July Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Vector Algebra: Let the vectors , and be such that for . Then, the set of all values of is :

Select Answer:

Visualized Solution

The Given Vectors and Condition

  • We are given three vectors: , , and .
  • The condition is: .

Linear Independence

  • The condition is the exact definition of Linear Independence.
  • This means none of the vectors can be written as a combination of the other two.

Scalar Triple Product

  • For three vectors in 3D space to be linearly independent, they must be non-coplanar.
  • Geometrically, they form a parallelepiped with a non-zero volume.
  • Therefore, their Scalar Triple Product must not be zero: .

Setting up the Determinant

  • The scalar triple product is calculated using the determinant of the vector components.

Column Operation:

  • To simplify, let's apply a column operation: .

Row Operation:

  • Now, apply a row operation to create more zeros: .

Expanding the Determinant

  • Expand the determinant along the second column ().
  • The sign for the element at position is positive ().

Solving the Inequality

  • Evaluate the determinant:

Final Range for

  • From , we get .
  • Since is a real number (), the set of all possible values for is all real numbers except zero.
  • Final Answer:

The Sigma Insight: Scalar Triple Product

Solution Diagram

Analyzing the Setup

Welcome, student. Today, we are diving into the heart of vector algebra. We are given three vectors, , , and , and a condition that looks intimidating at first glance: .
Do not let the notation scare you. This is the mathematical definition of Linear Independence. It means these vectors are 'free'—none of them can be created by combining the others.
They span a full three-dimensional volume. If you were to walk along , then , and then , you would be exploring the full depth of space, never trapped in a single plane.

The Scalar Triple Product

Measuring Volume
How do we translate this 'freedom' into a calculation? We use the Scalar Triple Product.
Geometrically, if we treat these three vectors as the edges of a parallelepiped, their scalar triple product gives us the volume of that shape. If the vectors are linearly independent, they are non-coplanar, meaning they form a 3D shape with a non-zero volume.
Therefore, the condition for linear independence is simply that the scalar triple product must not be zero: $[\vec{a} \ \vec{b} \ \vec{c}] eq 0$. This is our gateway to the solution.

The Algebraic Dance

Simplifying the Determinant
We construct our determinant using the components of our vectors as rows:
Now, we could expand this directly, but that is the path of the novice. We are aiming for elegance. Let us use column operations to simplify.
Notice the second column. If we apply , the terms in the first two rows will cancel out beautifully. The determinant becomes:
Look at that! We have created a zero in the third row. Let us go further. By applying , we create another zero in the second column:

The Final Revelation

Now, expanding along the second column is trivial. We take the element , multiply it by the determinant of the remaining matrix, and set it to non-zero:
Evaluating this, we get . Thus, our condition is $6t eq 0$.
This implies $t eq 0$. Since is any real number, the set of all values for is simply . You have successfully navigated the geometry and the algebra. Well done.

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